Relevant bibliographies by topics / Robust parameter design

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Robust parameter design'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "Robust parameter design"

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Singh, J., R. Jugulum, N. Soderborg, D. E. Whitney, and D. D. Frey. "Streamlining robust parameter design efforts." J. of Design Research 5, no. 4 (2007): 435. http://dx.doi.org/10.1504/jdr.2007.015181.

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Robinson, Timothy J., Connie M. Borror, and Raymond H. Myers. "Robust Parameter Design: A Review." Quality and Reliability Engineering International 20, no. 1 (2004): 81–101. http://dx.doi.org/10.1002/qre.602.

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Meng, Joe, Chuck Zhang, Ben Wang, and Wayne A. Eckerle. "Integrated robust parameter design and tolerance design." International Journal of Industrial and Systems Engineering 5, no. 2 (2010): 159. http://dx.doi.org/10.1504/ijise.2010.030746.

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Yamaguchi, Naotaka, and Hideaki Kanoh. "Design of Robust PID Parameters for Distributed Parameter Processes." IFAC Proceedings Volumes 33, no. 24 (2000): 221–26. http://dx.doi.org/10.1016/s1474-6670(17)36895-7.

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TANAKA, Yasutaroh. "^|^alpha; Parameter for Robust Control Design." Transactions of the Society of Instrument and Control Engineers 28, no. 12 (1992): 1501–3. http://dx.doi.org/10.9746/sicetr1965.28.1501.

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Dasgupta, Tirthankar, and C. F. Jeff Wu. "Robust Parameter Design With Feedback Control." Technometrics 48, no. 3 (2006): 349–60. http://dx.doi.org/10.1198/004017005000000634.

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An, N., J. C. Lu, D. Rosen, and L. Ruan. "Supply-chain oriented robust parameter design." International Journal of Production Research 45, no. 23 (2007): 5465–84. http://dx.doi.org/10.1080/00207540701325124.

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Lin, Chih-Min, and Ruey-Shih Tai. "U-parameter robust flight control design." Journal of Guidance, Control, and Dynamics 18, no. 4 (1995): 921–23. http://dx.doi.org/10.2514/3.21482.

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Moghadam, M. B. "Application of Robust Parameter Design Methodologies." Quality & Quantity 39, no. 2 (2005): 175–88. http://dx.doi.org/10.1007/s11135-004-2964-y.

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Tu, Jian, Kyung K. Choi, and Young H. Park. "Design Potential Method for Robust System Parameter Design." AIAA Journal 39, no. 4 (2001): 667–77. http://dx.doi.org/10.2514/2.1360.

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Dissertations / Theses on the topic "Robust parameter design"

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Savarese, Paul Tenzing. "New design comparison criteria in Taguchi's robust parameter design." Diss., This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-06062008-171200/.

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Lehman, Jeffrey S. "Sequential Design of Computer Experiments for Robust Parameter Design." The Ohio State University, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=osu1027963706.

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Lehman, Jeffrey Scott. "Sequential design of computer experiments for robust parameter design." The Ohio State University, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=osu1486463321623652.

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Lee, Sang Heon. "Efficient design and optimization of robust parameter experiments." Diss., Georgia Institute of Technology, 1991. http://hdl.handle.net/1853/24328.

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Min, Jun Young. "Off-line quality control by robust parameter design." Manhattan, Kan. : Kansas State University, 2008. http://hdl.handle.net/2097/597.

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Dasgupta, Tirthankar. "Robust Parameter Design for Automatically Controlled Systems and Nanostructure Synthesis." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/16300.

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This research focuses on developing comprehensive frameworks for developing robust parameter design methodology for dynamic systems with automatic control and for synthesis of nanostructures. In many automatically controlled dynamic processes, the optimal feedback control law depends on the parameter design solution and vice versa and therefore an integrated approach is necessary. A parameter design methodology in the presence of feedback control is developed for processes of long duration under the assumption that experimental noise factors are uncorrelated over time. Systems that follow a pure-gain dynamic model are considered and the best proportional-integral and minimum mean squared error control strategies are developed by using robust parameter design. The proposed method is illustrated using a simulated example and a case study in a urea packing plant. This idea is also extended to cases with on-line noise factors. The possibility of integrating feedforward control with a minimum mean squared error feedback control scheme is explored. To meet the needs of large scale synthesis of nanostructures, it is critical to systematically find experimental conditions under which the desired nanostructures are synthesized reproducibly, at large quantity and with controlled morphology. The first part of the research in this area focuses on modeling and optimization of existing experimental data. Through a rigorous statistical analysis of experimental data, models linking the probabilities of obtaining specific morphologies to the process variables are developed. A new iterative algorithm for fitting a Multinomial GLM is proposed and used. The optimum process conditions, which maximize the above probabilities and make the synthesis process less sensitive to variations of process variables around set values, are derived from the fitted models using Monte-Carlo simulations. The second part of the research deals with development of an experimental design methodology, tailor-made to address the unique phenomena associated with nanostructure synthesis. A sequential space filling design called Sequential Minimum Energy Design (SMED) for exploring best process conditions for synthesis of nanowires. The SMED is a novel approach to generate sequential designs that are model independent, can quickly "carve out" regions with no observable nanostructure morphology, and allow for the exploration of complex response surfaces.
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Muhler, Michael Ludwig. "Robust control system design by mapping specifications into parameter spaces." [S.l.] : [s.n.], 2007. http://deposit.ddb.de/cgi-bin/dokserv?idn=984575332.

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Bhagawat, Pankaj. "Design of a robust parameter estimator for nominally Laplacian noise." Texas A&M University, 2003. http://hdl.handle.net/1969/107.

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How, Jonathan P. "Robust control design with real parameter uncertainty using absolute stability." Thesis, Massachusetts Institute of Technology, 1993. http://hdl.handle.net/1721.1/12538.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1993.<br>GRSN 640480<br>Includes bibliographical references (p. 185-198).<br>by Jonathan P. How.<br>Ph.D.
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Kim, Yoon G. "A response surface approach to data analysis in robust parameter design." Diss., Virginia Tech, 1992. http://hdl.handle.net/10919/38627.

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It has become obvious that combined arrays and a response surface approach can be effective tools in our quest to reduce (process) variability. An important aspect of the improvement of quality is to suppress the magnitude of the influence coming from subtle changes of noise factors. To model and control process variability induced by noise factors we take a response surface approach. The derivative of the standard response function with respect to noise factors, i. e., the slopes of the response function in the direction of the noise factors, play an important role in the study of the minimum process variance. For better understanding of the process variability, we study various properties of both biased and the unbiased estimators of the process variance. Response surface modeling techniques and the ideas involved with variance modeling and estimation through the function of the aforementioned derivatives is a valuable concept in this study. In what follows, we describe the use of the response surface methodology for situations in which noise factors are used. The approach is to combine Taguchi's notion of heterogeneous variability with standard design and modeling techniques available in response surface methodology.<br>Ph. D.
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Books on the topic "Robust parameter design"

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Peter, Gaspar, Bokor Jozsef, and SpringerLink (Online service), eds. Robust Control and Linear Parameter Varying Approaches: Application to Vehicle Dynamics. Springer Berlin Heidelberg, 2013.

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Design Optimization: Taguchi's Robust Parameter Design. McGraw-Hill, 2010.

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T, Voth Christopher, Sanjay Swamy, and Langley Research Center, eds. Robust integrated autopilot/autothrottle design using constrained parameter optimization: Final report. NASA Langley Research Center, 1990.

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Robust control design with real parameter uncertainty using absolute stability theory. National Aeronautics and Space Administration, 1993.

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Robust control design with real parameter uncertainty using absolute stability theory. National Aeronautics and Space Administration, 1993.

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Bokor, József, Balazs Nemeth, Zoltán Szabó, and Péter Gáspár. Robust Control Design for Active Driver Assistance Systems: A Linear-Parameter-Varying Approach. Springer, 2016.

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Bokor, József, Balazs Nemeth, Zoltán Szabó, and Péter Gáspár. Robust Control Design for Active Driver Assistance Systems: A Linear-Parameter-Varying Approach. Springer, 2018.

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Bokor, József, Olivier Sename, and Peter Gaspar. Robust Control and Linear Parameter Varying Approaches: Application to Vehicle Dynamics. Springer, 2013.

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Lee, Herbert K. H., Matthew Taddy, Robert Gramacy, and Genetha Gray. Designing and analysing a circuit device experiment using treed Gaussian processes. Edited by Anthony O'Hagan and Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.28.

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This article describes a new circuit device, developed in collaboration with scientists at Sandia National Laboratories, based on treed Gaussian processes (TGP). The circuit devices under study are bipolar junction transistors, which are used to amplify electrical current. To aid with the design of the device, a computer model predicts its peak output as a function of the input dosage and a number of design parameters. The methodology also involves a novel sequential design procedure to generate data to fit the emulator. Both physical and computer simulation experiments are performed, and the results show that the TGP model can be useful for spatial data and semiparametric regression in the context of a computer experiment for designing a circuit device, for sequential design of (computer) experiments, sequential robust local optimization, validation, calibration, and sensitivity analysis.
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Book chapters on the topic "Robust parameter design"

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Ackermann, Jürgen, Dieter Kaesbauer, Wolfgang Sienel, Reinhold Steinhauser, and Andrew Bartlett. "Parameter Space Design." In Robust Control. Springer London, 1993. http://dx.doi.org/10.1007/978-1-4471-3365-0_11.

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Robinson, Timothy J., and Christine M. Anderson-Cook. "Robust Parameter Designs." In Design and Analysis of Experiments. John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118147634.ch13.

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Massein, Aurélien, David Daney, and Yves Papegay. "Robust Design of Parameter Identification." In Advances in Robot Kinematics 2016. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56802-7_33.

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Gao, Huijun, and Xianwei Li. "Parameter-Dependent Robust Filter Design." In Communications and Control Engineering. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05903-7_3.

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Gu, Da-Wei, Petko H. Petkov, and Mihail M. Konstantinov. "Analysis and Design of Parameter-Dependent Systems." In Robust Control Design with MATLAB®. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4682-7_13.

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Gáspár, Péter. "Design of Integrated Control for Road Vehicles." In Robust Control and Linear Parameter Varying Approaches. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36110-4_8.

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Šiljak, D. D. "A Robust Control Design in the Parameter Space." In Robustness of Dynamic Systems with Parameter Uncertainties. Birkhäuser Basel, 1992. http://dx.doi.org/10.1007/978-3-0348-7268-3_23.

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Gáspár, Péter, and Zoltán Szabó. "Design of a Hierarchical Controller for Suspension Systems." In Robust Control and Linear Parameter Varying Approaches. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36110-4_12.

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Henry, David. "Design of Norm Based Fault Detection and Isolation LPV Filters." In Robust Control and Linear Parameter Varying Approaches. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36110-4_6.

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Dorato, Peter, Yunzhi Li, and Hong Bae Park. "U-Parameter Design: Feedback System Design with Guaranteed Robust Stability." In Robustness in Identification and Control. Springer US, 1989. http://dx.doi.org/10.1007/978-1-4615-9552-6_23.

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Conference papers on the topic "Robust parameter design"

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Frey, Daniel D., and Xiang Li. "Validating Robust-Parameter-Design Methods." In ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASME, 2004. http://dx.doi.org/10.1115/detc2004-57518.

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Litko, J. R. "Sensitivity analysis for robust parameter design experiments." In Proceedings of the 2005 Winter Simulation Conference. IEEE, 2005. http://dx.doi.org/10.1109/wsc.2005.1574287.

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Wang, Jian-Jun, and Yi-Zhong Ma. "Robust Parameter Design Via Bayesian Generalizedlinear Models." In 2009 International Conference on Management and Service Science (MASS). IEEE, 2009. http://dx.doi.org/10.1109/icmss.2009.5303795.

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Yeh, Hsi-Han, Jenny L. Rawson, and Siva S. Banda. "Robust Conrol Design with Real-Parameter Uncertainties." In 1992 American Control Conference. IEEE, 1992. http://dx.doi.org/10.23919/acc.1992.4792750.

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Idan, Moshe, and Guy Shaviv. "Robust control design strategy with parameter dominated uncertainty." In Guidance, Navigation, and Control Conference. American Institute of Aeronautics and Astronautics, 1995. http://dx.doi.org/10.2514/6.1995-3191.

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Zhou, Xi, Yiheng Wei та Yong Wang. "Robust fractional order PIλDμcontroller design and parameter tuning". У 2017 36th Chinese Control Conference (CCC). IEEE, 2017. http://dx.doi.org/10.23919/chicc.2017.8028384.

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Akbari, Ali Akbar, Amir homayun Samiee, Pouria Naeemi Amini, and Danial Fallah. "A Novel Method for Robust Control Using Taguchi Method and Genetic Algorithm in QFT Controller." In ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2010. http://dx.doi.org/10.1115/esda2010-25026.

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This paper proposes a novel method to design and optimize a robust controller for a SCARA robot using quantitative feedback theory (QFT). In every physical system, there are number of factors that cause uncertainty in the performance. A robot arm is an example of such systems. Although QFT design technique has been successfully used for plants having structured parameter uncertainty, there are some difficulties that a designer encounters. In this paper we investigated the effects of parameter uncertainties of a SCARA robot on frequency response of open loop system. Taguchi’s experimental design technique is used for determination of the uncertain parameters, which have the greatest influence on the outcome through a very limited number of experiments. With consideration of important parameters, the next step in QFT design procedure is loop-shaping. In the presented method the controller is designed directly by choosing and optimization of coefficients of transfer function by using genetic algorithm. In optimization procedure, stability and bounds of the system were considered as the constraints of the problem. Non-linear simulations on the tracking problem are performed and the results highlight the success of the designed controllers. The results indicate that applying the proposed technique successfully overcomes the obstacles to robust control of non-linear SCARA robots.
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Picheral, L., K. Hadj-Hamou, G. Remy, and J. Bigeon. "Optimization based on parameter moments estimation for robust design." In 2012 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE). IEEE, 2012. http://dx.doi.org/10.1109/ccece.2012.6334979.

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Belavy, Cyril, Filip Vitalos, Marcel Vlcek, Stanislav Lel'o, and Marek Michalecko. "IMC based robust controller design for distributed parameter systems." In 2013 International Conference on Process Control (PC). IEEE, 2013. http://dx.doi.org/10.1109/pc.2013.6581424.

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Bhatt, Sujay, Siuli Mukhopadhyay, Ameer Mulla, and Debraj Chakraborty. "Semidefinite programming methods for min-max robust parameter design." In 2012 International Conference on Statistics in Science, Business and Engineering (ICSSBE2012). IEEE, 2012. http://dx.doi.org/10.1109/icssbe.2012.6396614.

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Reports on the topic "Robust parameter design"

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Abate, M. L., M. C. Morrow, and T. Kuczek. An application of robust parameter design using an alternative to Taguchi methods. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/399996.

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